Attaining drastic quantum advantages by harnessing threshold phenomena

Abstract

In this project, we will investigate the theory and experiment of quantum information processing (QIP) protocols that enjoy enormous advantages over their classical counterparts. At the core of our approach is the threshold phenomena that are ubiquitous but remain largely unexplored in QIP. In a variety of information-processing problems, the performance is drastically improved when the operational parameters such as the signal-to-noise ratio (SNR), break a threshold. As such, one can design a QIP protocol that operates above the threshold whereas its classical counterpart does not, thereby enabling an appreciable quantum advantage. We will establish a holistic theoretical framework to describe, analyze, and benchmark the threshold phenomena in QIP and carry out experiments to validate the threshold-enabled quantum advantages in communication, sensing, and data processing. This project will identify viable routes toward substantial quantum advantages achievable with near-term quantum hardware for a wide range of practically relevant applications. Technical approaches. The PI and Co-PI will collaborate closely to address a multitude of scientific problems associated with the QIP threshold phenomena. The PI will build up a theoretical framework aimed at quantifying rigorous quantum advantages and extending advantages to practical QIP applications. The Co-PI will validate the drastic quantum advantages predicted by the theoretical framework in three QIP realms of data processing, sensing, and communication. The theory thrust contains three tasks: 1) Evaluating the quantum advantages in the finite SNR region, utilizing quantum Ziv-Zakai bound and quantum Weiss-Weinstein bound. We will focus on phase sensing that is widely applicable to bio-sensing, chemical detection, and wireless sensing.2). Optimal protocol design of entanglement-enhanced adaptive phase sensing based on Bayesian framework. In general, designing the optimal adaptive sensing protocol is challenging, we will adopt a machine learning framework to optimize the decision tree of adaptive strategy. 3) We will exploit threshold phenomena in nonlinear physical-layer data classification. The experiment thrust incorporates three tasks verifying the quantum advantages: 1) In distributed quantum data processing, we will verify the threshold phenomenon in the entanglement-based principal-component analyzer and optimization. 2) Develop and demonstrate adaptive quantum sources and receivers that reap the benefit of the threshold phenomena in phase sensing. 3) Demonstrate quantum communication with adaptive entanglement and assess the implications for communication security in terms of the covertness and secrecy capacity subject to the threshold. Anticipated outcome and Impact on DoD capabilities. The project will develop phase sensing system with 10x sensitivity advantage and physical-layer data classification system with 10x lower error probability. Our adaptive and entangled quantum sensor networks design will increase sensor resolution, speed of acquisition/computation, and also reduce the size weight and power (SWaP) for many sensor systems. The improved sensors will be useful for navigation and sensing in a maritime environment. Our quantum communication system design applies to radiofrequency, deep-space, and wireless communication and suits Navy#s need to maintain an advanced communication system between multiple units. This result will have profound implications for secure and enhanced communications with particular applications in processing, exploitation, and dissemination (PED) and the mitigation of anti-access/area denial (A2/AD) technologies.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 03, 2023
Source ID
N000142312296

Entities

People

  • Quntao Zhuang

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Southern California

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Phased Array Antenna Design.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Quantum Computing
  • Space